Credit_Score

Dataset statistics

Number of variables	28
Number of observations	150000
Missing cells	140124
Missing cells (%)	3.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	32.0 MiB
Average record size in memory	224.0 B

Variable types

Categorical	19
Numeric	8
Unsupported	1

Alerts

`ID` has a high cardinality: 150000 distinct values	High cardinality
`Customer_ID` has a high cardinality: 12500 distinct values	High cardinality
`Name` has a high cardinality: 10139 distinct values	High cardinality
`Age` has a high cardinality: 2524 distinct values	High cardinality
`SSN` has a high cardinality: 12501 distinct values	High cardinality
`Annual_Income` has a high cardinality: 21192 distinct values	High cardinality
`Num_of_Loan` has a high cardinality: 623 distinct values	High cardinality
`Type_of_Loan` has a high cardinality: 6260 distinct values	High cardinality
`Num_of_Delayed_Payment` has a high cardinality: 1058 distinct values	High cardinality
`Changed_Credit_Limit` has a high cardinality: 4605 distinct values	High cardinality
`Outstanding_Debt` has a high cardinality: 13622 distinct values	High cardinality
`Credit_History_Age` has a high cardinality: 408 distinct values	High cardinality
`Amount_invested_monthly` has a high cardinality: 136497 distinct values	High cardinality
`Num_Bank_Accounts` is highly overall correlated with `Interest_Rate` and 1 other fields	High correlation
`Interest_Rate` is highly overall correlated with `Num_Bank_Accounts` and 2 other fields	High correlation
`Delay_from_due_date` is highly overall correlated with `Num_Bank_Accounts` and 1 other fields	High correlation
`Num_Credit_Inquiries` is highly overall correlated with `Interest_Rate`	High correlation
`Num_of_Loan` is highly imbalanced (60.9%)	Imbalance
`Num_of_Delayed_Payment` is highly imbalanced (50.9%)	Imbalance
`Name` has 15000 (10.0%) missing values	Missing
`Monthly_Inhand_Salary` has 22500 (15.0%) missing values	Missing
`Type_of_Loan` has 17112 (11.4%) missing values	Missing
`Num_of_Delayed_Payment` has 10500 (7.0%) missing values	Missing
`Num_Credit_Inquiries` has 3000 (2.0%) missing values	Missing
`Credit_History_Age` has 13500 (9.0%) missing values	Missing
`Amount_invested_monthly` has 6750 (4.5%) missing values	Missing
`Monthly_Balance` has 1762 (1.2%) missing values	Missing
`Credit_Score` has 50000 (33.3%) missing values	Missing
`ID` is uniformly distributed	Uniform
`Customer_ID` is uniformly distributed	Uniform
`Month` is uniformly distributed	Uniform
`ID` has unique values	Unique
`Credit_Utilization_Ratio` has unique values	Unique
`Monthly_Balance` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Num_Bank_Accounts` has 6494 (4.3%) zeros	Zeros
`Delay_from_due_date` has 1821 (1.2%) zeros	Zeros
`Num_Credit_Inquiries` has 8074 (5.4%) zeros	Zeros
`Total_EMI_per_month` has 15615 (10.4%) zeros	Zeros

Reproduction

Analysis started	2023-04-06 12:09:22.845305
Analysis finished	2023-04-06 12:09:57.509888
Duration	34.66 seconds
Software version	ydata-profiling vv4.1.1
Download configuration	config.json

ID
Categorical

HIGH CARDINALITY UNIFORM UNIQUE

Distinct	150000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

0x160a	1
0x13b0a	1
0x13af2	1
0x13af3	1
0x13af4	1
Other values (149995)	149995

Length

Max length	7
Median length	7
Mean length	6.6006533
Min length	6

Characters and Unicode

Total characters	990098
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	150000 ?
Unique (%)	100.0%

Sample

1st row	0x160a
2nd row	0x160b
3rd row	0x160c
4th row	0x160d
5th row	0x1616

Common Values

Value	Count	Frequency (%)
0x160a	1	< 0.1%
0x13b0a	1	< 0.1%
0x13af2	1	< 0.1%
0x13af3	1	< 0.1%
0x13af4	1	< 0.1%
0x13af5	1	< 0.1%
0x13afa	1	< 0.1%
0x13afb	1	< 0.1%
0x13afc	1	< 0.1%
0x13afd	1	< 0.1%
Other values (149990)	149990	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0x160a	1	< 0.1%
0x1631	1	< 0.1%
0x163c	1	< 0.1%
0x163b	1	< 0.1%
0x1622	1	< 0.1%
0x160c	1	< 0.1%
0x160d	1	< 0.1%
0x1616	1	< 0.1%
0x1617	1	< 0.1%
0x1618	1	< 0.1%
Other values (149990)	149990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
0	186157	18.8%
x	150000	15.2%
1	104253	10.5%
2	64817	6.5%
3	40255	4.1%
4	40255	4.1%
5	40241	4.1%
a	36415	3.7%
b	36415	3.7%
c	36415	3.7%
Other values (7)	254875	25.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	621636	62.8%
Lowercase Letter	368462	37.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	186157	29.9%
1	104253	16.8%
2	64817	10.4%
3	40255	6.5%
4	40255	6.5%
5	40241	6.5%
7	36415	5.9%
8	36415	5.9%
9	36415	5.9%
6	36413	5.9%

Lowercase Letter

Value	Count	Frequency (%)
x	150000	40.7%
a	36415	9.9%
b	36415	9.9%
c	36415	9.9%
d	36415	9.9%
e	36415	9.9%
f	36387	9.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	621636	62.8%
Latin	368462	37.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	186157	29.9%
1	104253	16.8%
2	64817	10.4%
3	40255	6.5%
4	40255	6.5%
5	40241	6.5%
7	36415	5.9%
8	36415	5.9%
9	36415	5.9%
6	36413	5.9%

Latin

Value	Count	Frequency (%)
x	150000	40.7%
a	36415	9.9%
b	36415	9.9%
c	36415	9.9%
d	36415	9.9%
e	36415	9.9%
f	36387	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	990098	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	186157	18.8%
x	150000	15.2%
1	104253	10.5%
2	64817	6.5%
3	40255	4.1%
4	40255	4.1%
5	40241	4.1%
a	36415	3.7%
b	36415	3.7%
c	36415	3.7%
Other values (7)	254875	25.7%

Customer_ID
Categorical

HIGH CARDINALITY UNIFORM

Distinct	12500
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

CUS_0xd40	12
CUS_0x9bf4	12
CUS_0x5ae3	12
CUS_0xbe9a	12
CUS_0x4874	12
Other values (12495)	149940

Length

Max length	10
Median length	10
Mean length	9.93952
Min length	9

Characters and Unicode

Total characters	1490928
Distinct characters	21
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CUS_0xd40
2nd row	CUS_0xd40
3rd row	CUS_0xd40
4th row	CUS_0xd40
5th row	CUS_0x21b1

Common Values

Value	Count	Frequency (%)
CUS_0xd40	12	< 0.1%
CUS_0x9bf4	12	< 0.1%
CUS_0x5ae3	12	< 0.1%
CUS_0xbe9a	12	< 0.1%
CUS_0x4874	12	< 0.1%
CUS_0xc67b	12	< 0.1%
CUS_0x8a64	12	< 0.1%
CUS_0x35ea	12	< 0.1%
CUS_0x5044	12	< 0.1%
CUS_0x9dfd	12	< 0.1%
Other values (12490)	149880	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cus_0xd40	12	< 0.1%
cus_0x75c6	12	< 0.1%
cus_0x5b48	12	< 0.1%
cus_0xc0ab	12	< 0.1%
cus_0x2dbc	12	< 0.1%
cus_0xb891	12	< 0.1%
cus_0x1cdb	12	< 0.1%
cus_0x95ee	12	< 0.1%
cus_0x284a	12	< 0.1%
cus_0x5407	12	< 0.1%
Other values (12490)	149880	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	177372	11.9%
C	150000	10.1%
S	150000	10.1%
_	150000	10.1%
x	150000	10.1%
U	150000	10.1%
4	42000	2.8%
6	41100	2.8%
5	40800	2.7%
3	40608	2.7%
Other values (11)	399048	26.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	541812	36.3%
Uppercase Letter	450000	30.2%
Lowercase Letter	349116	23.4%
Connector Punctuation	150000	10.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	177372	32.7%
4	42000	7.8%
6	41100	7.6%
5	40800	7.5%
3	40608	7.5%
8	40608	7.5%
7	40164	7.4%
9	40104	7.4%
2	40080	7.4%
1	38976	7.2%

Lowercase Letter

Value	Count	Frequency (%)
x	150000	43.0%
b	40200	11.5%
a	39816	11.4%
c	33408	9.6%
e	29232	8.4%
d	28308	8.1%
f	28152	8.1%

Uppercase Letter

Value	Count	Frequency (%)
C	150000	33.3%
S	150000	33.3%
U	150000	33.3%

Connector Punctuation

Value	Count	Frequency (%)
_	150000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	799116	53.6%
Common	691812	46.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	177372	25.6%
_	150000	21.7%
4	42000	6.1%
6	41100	5.9%
5	40800	5.9%
3	40608	5.9%
8	40608	5.9%
7	40164	5.8%
9	40104	5.8%
2	40080	5.8%

Latin

Value	Count	Frequency (%)
C	150000	18.8%
S	150000	18.8%
x	150000	18.8%
U	150000	18.8%
b	40200	5.0%
a	39816	5.0%
c	33408	4.2%
e	29232	3.7%
d	28308	3.5%
f	28152	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1490928	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	177372	11.9%
C	150000	10.1%
S	150000	10.1%
_	150000	10.1%
x	150000	10.1%
U	150000	10.1%
4	42000	2.8%
6	41100	2.8%
5	40800	2.7%
3	40608	2.7%
Other values (11)	399048	26.8%

Month
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

September	12500
October	12500
November	12500
December	12500
January	12500
Other values (7)	87500

Length

Max length	9
Median length	7
Mean length	6.1666667
Min length	3

Characters and Unicode

Total characters	925000
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	September
2nd row	October
3rd row	November
4th row	December
5th row	September

Common Values

Value	Count	Frequency (%)
September	12500	8.3%
October	12500	8.3%
November	12500	8.3%
December	12500	8.3%
January	12500	8.3%
February	12500	8.3%
March	12500	8.3%
April	12500	8.3%
May	12500	8.3%
June	12500	8.3%
Other values (2)	25000	16.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
september	12500	8.3%
october	12500	8.3%
november	12500	8.3%
december	12500	8.3%
january	12500	8.3%
february	12500	8.3%
march	12500	8.3%
april	12500	8.3%
may	12500	8.3%
june	12500	8.3%
Other values (2)	25000	16.7%

Most occurring characters

Value	Count	Frequency (%)
e	137500	14.9%
r	112500	12.2%
u	75000	8.1%
b	62500	6.8%
a	62500	6.8%
y	50000	5.4%
J	37500	4.1%
t	37500	4.1%
m	37500	4.1%
c	37500	4.1%
Other values (16)	275000	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	775000	83.8%
Uppercase Letter	150000	16.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	137500	17.7%
r	112500	14.5%
u	75000	9.7%
b	62500	8.1%
a	62500	8.1%
y	50000	6.5%
t	37500	4.8%
m	37500	4.8%
c	37500	4.8%
n	25000	3.2%
Other values (8)	137500	17.7%

Uppercase Letter

Value	Count	Frequency (%)
J	37500	25.0%
A	25000	16.7%
M	25000	16.7%
S	12500	8.3%
F	12500	8.3%
D	12500	8.3%
N	12500	8.3%
O	12500	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	925000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	137500	14.9%
r	112500	12.2%
u	75000	8.1%
b	62500	6.8%
a	62500	6.8%
y	50000	5.4%
J	37500	4.1%
t	37500	4.1%
m	37500	4.1%
c	37500	4.1%
Other values (16)	275000	29.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	925000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	137500	14.9%
r	112500	12.2%
u	75000	8.1%
b	62500	6.8%
a	62500	6.8%
y	50000	5.4%
J	37500	4.1%
t	37500	4.1%
m	37500	4.1%
c	37500	4.1%
Other values (16)	275000	29.7%

Name
Categorical

HIGH CARDINALITY MISSING

Distinct	10139
Distinct (%)	7.5%
Missing	15000
Missing (%)	10.0%
Memory size	1.1 MiB

Stevex	66
Langep	65
Jessicad	59
Vaughanl	58
Raymondr	58
Other values (10134)	134694

Length

Max length	25
Median length	20
Mean length	9.7659926
Min length	2

Characters and Unicode

Total characters	1318409
Distinct characters	57
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Aaron Maashoh
2nd row	Aaron Maashoh
3rd row	Aaron Maashoh
4th row	Aaron Maashoh
5th row	Rick Rothackerj

Common Values

Value	Count	Frequency (%)
Stevex	66	< 0.1%
Langep	65	< 0.1%
Jessicad	59	< 0.1%
Vaughanl	58	< 0.1%
Raymondr	58	< 0.1%
Deepa Seetharamanm	58	< 0.1%
Nicko	57	< 0.1%
Jessica Wohlt	57	< 0.1%
Ronald Groverk	56	< 0.1%
Danielz	55	< 0.1%
Other values (10129)	134411	89.6%
(Missing)	15000	10.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
david	968	0.5%
jonathan	913	0.5%
jessica	761	0.4%
sarah	617	0.3%
karen	568	0.3%
nick	561	0.3%
tim	555	0.3%
caroline	553	0.3%
john	511	0.3%
tom	508	0.3%
Other values (9720)	181957	96.5%

Most occurring characters

Value	Count	Frequency (%)
a	137614	10.4%
e	114139	8.7%
n	88845	6.7%
i	87745	6.7%
r	81658	6.2%
o	66930	5.1%
l	63199	4.8%
	53523	4.1%
t	52504	4.0%
h	45818	3.5%
Other values (47)	526434	39.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1071504	81.3%
Uppercase Letter	187988	14.3%
Space Separator	53523	4.1%
Other Punctuation	3222	0.2%
Dash Punctuation	2172	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	137614	12.8%
e	114139	10.7%
n	88845	8.3%
i	87745	8.2%
r	81658	7.6%
o	66930	6.2%
l	63199	5.9%
t	52504	4.9%
h	45818	4.3%
s	45628	4.3%
Other values (16)	287424	26.8%

Uppercase Letter

Value	Count	Frequency (%)
S	21401	11.4%
A	13103	7.0%
M	12985	6.9%
L	12584	6.7%
J	11986	6.4%
C	11670	6.2%
R	10719	5.7%
D	10512	5.6%
K	10341	5.5%
B	9782	5.2%
Other values (16)	62905	33.5%

Other Punctuation

Value	Count	Frequency (%)
.	1649	51.2%
"	1444	44.8%
,	129	4.0%

Space Separator

Value	Count	Frequency (%)
	53523	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1259492	95.5%
Common	58917	4.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	137614	10.9%
e	114139	9.1%
n	88845	7.1%
i	87745	7.0%
r	81658	6.5%
o	66930	5.3%
l	63199	5.0%
t	52504	4.2%
h	45818	3.6%
s	45628	3.6%
Other values (42)	475412	37.7%

Common

Value	Count	Frequency (%)
	53523	90.8%
-	2172	3.7%
.	1649	2.8%
"	1444	2.5%
,	129	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1318409	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	137614	10.4%
e	114139	8.7%
n	88845	6.7%
i	87745	6.7%
r	81658	6.2%
o	66930	5.1%
l	63199	4.8%
	53523	4.1%
t	52504	4.0%
h	45818	3.5%
Other values (47)	526434	39.9%

Age
Categorical

Distinct	2524
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

39	4198
32	4189
28	4173
26	4140
35	4130
Other values (2519)	129170

Length

Max length	5
Median length	2
Mean length	2.1030733
Min length	2

Characters and Unicode

Total characters	315461
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2084 ?
Unique (%)	1.4%

Sample

1st row	23
2nd row	24
3rd row	24
4th row	24_
5th row	28

Common Values

Value	Count	Frequency (%)
39	4198	2.8%
32	4189	2.8%
28	4173	2.8%
26	4140	2.8%
35	4130	2.8%
44	4116	2.7%
38	4099	2.7%
27	4089	2.7%
31	4071	2.7%
22	4063	2.7%
Other values (2514)	108732	72.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
39	4416	2.9%
32	4413	2.9%
28	4383	2.9%
26	4366	2.9%
35	4349	2.9%
38	4334	2.9%
44	4324	2.9%
27	4316	2.9%
31	4287	2.9%
22	4278	2.9%
Other values (2434)	106534	71.0%

Most occurring characters

Value	Count	Frequency (%)
2	57829	18.3%
3	57493	18.2%
4	50047	15.9%
5	32300	10.2%
1	31218	9.9%
0	17664	5.6%
6	15759	5.0%
9	15624	5.0%
8	14972	4.7%
7	13789	4.4%
Other values (2)	8766	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	306695	97.2%
Connector Punctuation	7416	2.4%
Dash Punctuation	1350	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	57829	18.9%
3	57493	18.7%
4	50047	16.3%
5	32300	10.5%
1	31218	10.2%
0	17664	5.8%
6	15759	5.1%
9	15624	5.1%
8	14972	4.9%
7	13789	4.5%

Connector Punctuation

Value	Count	Frequency (%)
_	7416	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	315461	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	57829	18.3%
3	57493	18.2%
4	50047	15.9%
5	32300	10.2%
1	31218	9.9%
0	17664	5.6%
6	15759	5.0%
9	15624	5.0%
8	14972	4.7%
7	13789	4.4%
Other values (2)	8766	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	315461	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	57829	18.3%
3	57493	18.2%
4	50047	15.9%
5	32300	10.2%
1	31218	9.9%
0	17664	5.6%
6	15759	5.0%
9	15624	5.0%
8	14972	4.7%
7	13789	4.4%
Other values (2)	8766	2.8%

SSN
Categorical

Distinct	12501
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

#F%$D@*&8	8400
078-73-5990	12
374-03-0670	12
255-39-8777	12
866-11-3352	12
Other values (12496)	141552

Length

Max length	11
Median length	11
Mean length	10.888
Min length	9

Characters and Unicode

Total characters	1633200
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	821-00-0265
2nd row	821-00-0265
3rd row	821-00-0265
4th row	821-00-0265
5th row	004-07-5839

Common Values

Value	Count	Frequency (%)
#F%$D@*&8	8400	5.6%
078-73-5990	12	< 0.1%
374-03-0670	12	< 0.1%
255-39-8777	12	< 0.1%
866-11-3352	12	< 0.1%
159-51-7992	12	< 0.1%
318-30-9160	12	< 0.1%
259-11-0934	12	< 0.1%
162-17-7776	12	< 0.1%
557-07-3973	12	< 0.1%
Other values (12491)	141492	94.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
f%$d@*&8	8400	5.6%
741-04-8469	12	< 0.1%
213-49-2021	12	< 0.1%
996-52-9835	12	< 0.1%
978-19-7269	12	< 0.1%
056-57-6013	12	< 0.1%
302-82-0750	12	< 0.1%
174-73-2790	12	< 0.1%
159-72-2454	12	< 0.1%
820-41-6857	12	< 0.1%
Other values (12491)	141492	94.3%

Most occurring characters

Value	Count	Frequency (%)
-	283200	17.3%
8	137348	8.4%
1	129790	7.9%
4	128788	7.9%
2	127869	7.8%
7	127708	7.8%
0	127016	7.8%
9	126945	7.8%
5	126837	7.8%
3	125445	7.7%
Other values (9)	192254	11.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1282800	78.5%
Dash Punctuation	283200	17.3%
Other Punctuation	42000	2.6%
Uppercase Letter	16800	1.0%
Currency Symbol	8400	0.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	137348	10.7%
1	129790	10.1%
4	128788	10.0%
2	127869	10.0%
7	127708	10.0%
0	127016	9.9%
9	126945	9.9%
5	126837	9.9%
3	125445	9.8%
6	125054	9.7%

Other Punctuation

Value	Count	Frequency (%)
&	8400	20.0%
*	8400	20.0%
@	8400	20.0%
%	8400	20.0%
#	8400	20.0%

Uppercase Letter

Value	Count	Frequency (%)
F	8400	50.0%
D	8400	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	283200	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	8400	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1616400	99.0%
Latin	16800	1.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	283200	17.5%
8	137348	8.5%
1	129790	8.0%
4	128788	8.0%
2	127869	7.9%
7	127708	7.9%
0	127016	7.9%
9	126945	7.9%
5	126837	7.8%
3	125445	7.8%
Other values (7)	175454	10.9%

Latin

Value	Count	Frequency (%)
F	8400	50.0%
D	8400	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1633200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	283200	17.3%
8	137348	8.4%
1	129790	7.9%
4	128788	7.9%
2	127869	7.8%
7	127708	7.8%
0	127016	7.8%
9	126945	7.8%
5	126837	7.8%
3	125445	7.7%
Other values (9)	192254	11.8%

Occupation
Categorical

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

_______	10500
Lawyer	9899
Engineer	9562
Architect	9550
Mechanic	9459
Other values (11)	101030

Length

Max length	13
Median length	10
Mean length	8.43234
Min length	6

Characters and Unicode

Total characters	1264851
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Scientist
2nd row	Scientist
3rd row	Scientist
4th row	Scientist
5th row	_______

Common Values

Value	Count	Frequency (%)
_______	10500	7.0%
Lawyer	9899	6.6%
Engineer	9562	6.4%
Architect	9550	6.4%
Mechanic	9459	6.3%
Accountant	9404	6.3%
Scientist	9403	6.3%
Developer	9381	6.3%
Media_Manager	9362	6.2%
Teacher	9318	6.2%
Other values (6)	54162	36.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	10500	7.0%
lawyer	9899	6.6%
engineer	9562	6.4%
architect	9550	6.4%
mechanic	9459	6.3%
accountant	9404	6.3%
scientist	9403	6.3%
developer	9381	6.3%
media_manager	9362	6.2%
teacher	9318	6.2%
Other values (6)	54162	36.1%

Most occurring characters

Value	Count	Frequency (%)
e	168560	13.3%
r	129748	10.3%
n	111663	8.8%
a	102092	8.1%
c	93519	7.4%
t	93045	7.4%
i	92395	7.3%
_	82862	6.6%
o	46135	3.6%
M	46014	3.6%
Other values (18)	298818	23.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1033127	81.7%
Uppercase Letter	148862	11.8%
Connector Punctuation	82862	6.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	168560	16.3%
r	129748	12.6%
n	111663	10.8%
a	102092	9.9%
c	93519	9.1%
t	93045	9.0%
i	92395	8.9%
o	46135	4.5%
u	36661	3.5%
h	28327	2.7%
Other values (8)	130982	12.7%

Uppercase Letter

Value	Count	Frequency (%)
M	46014	30.9%
A	18954	12.7%
E	18839	12.7%
D	18495	12.4%
L	9899	6.6%
S	9403	6.3%
T	9318	6.3%
J	9122	6.1%
W	8818	5.9%

Connector Punctuation

Value	Count	Frequency (%)
_	82862	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1181989	93.4%
Common	82862	6.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	168560	14.3%
r	129748	11.0%
n	111663	9.4%
a	102092	8.6%
c	93519	7.9%
t	93045	7.9%
i	92395	7.8%
o	46135	3.9%
M	46014	3.9%
u	36661	3.1%
Other values (17)	262157	22.2%

Common

Value	Count	Frequency (%)
_	82862	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1264851	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	168560	13.3%
r	129748	10.3%
n	111663	8.8%
a	102092	8.1%
c	93519	7.4%
t	93045	7.4%
i	92395	7.3%
_	82862	6.6%
o	46135	3.6%
M	46014	3.6%
Other values (18)	298818	23.6%

Annual_Income
Categorical

Distinct	21192
Distinct (%)	14.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

36585.12	24
9141.63	23
95596.35	23
20867.67	23
17816.75	23
Other values (21187)	149884

Length

Max length	19
Median length	8
Mean length	8.3092267
Min length	6

Characters and Unicode

Total characters	1246384
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6190 ?
Unique (%)	4.1%

Sample

1st row	19114.12
2nd row	19114.12
3rd row	19114.12
4th row	19114.12
5th row	34847.84

Common Values

Value	Count	Frequency (%)
36585.12	24	< 0.1%
9141.63	23	< 0.1%
95596.35	23	< 0.1%
20867.67	23	< 0.1%
17816.75	23	< 0.1%
33029.66	22	< 0.1%
72524.2	22	< 0.1%
109945.32	22	< 0.1%
17273.83	22	< 0.1%
22434.16	21	< 0.1%
Other values (21182)	149775	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
36585.12	24	< 0.1%
109945.32	24	< 0.1%
9141.63	24	< 0.1%
32543.38	24	< 0.1%
22434.16	24	< 0.1%
17273.83	24	< 0.1%
40341.16	24	< 0.1%
17816.75	24	< 0.1%
20867.67	24	< 0.1%
72524.2	23	< 0.1%
Other values (13978)	149761	99.8%

Most occurring characters

Value	Count	Frequency (%)
.	150000	12.0%
1	139224	11.2%
2	114510	9.2%
4	107657	8.6%
3	107443	8.6%
8	106304	8.5%
5	106050	8.5%
6	105985	8.5%
9	103560	8.3%
0	99513	8.0%
Other values (2)	106138	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1085884	87.1%
Other Punctuation	150000	12.0%
Connector Punctuation	10500	0.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	139224	12.8%
2	114510	10.5%
4	107657	9.9%
3	107443	9.9%
8	106304	9.8%
5	106050	9.8%
6	105985	9.8%
9	103560	9.5%
0	99513	9.2%
7	95638	8.8%

Other Punctuation

Value	Count	Frequency (%)
.	150000	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	10500	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1246384	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	150000	12.0%
1	139224	11.2%
2	114510	9.2%
4	107657	8.6%
3	107443	8.6%
8	106304	8.5%
5	106050	8.5%
6	105985	8.5%
9	103560	8.3%
0	99513	8.0%
Other values (2)	106138	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1246384	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	150000	12.0%
1	139224	11.2%
2	114510	9.2%
4	107657	8.6%
3	107443	8.6%
8	106304	8.5%
5	106050	8.5%
6	105985	8.5%
9	103560	8.3%
0	99513	8.0%
Other values (2)	106138	8.5%

Monthly_Inhand_Salary
Real number (ℝ)

Distinct	13683
Distinct (%)	10.7%
Missing	22500
Missing (%)	15.0%
Infinite	0
Infinite (%)	0.0%
Mean	4190.1151

Minimum	303.64542
Maximum	15204.633
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	303.64542
5-th percentile	835.80904
Q1	1625.2658
median	3091
Q3	5948.4546
95-th percentile	10812.433
Maximum	15204.633
Range	14900.988
Interquartile range (IQR)	4323.1888

Descriptive statistics

Standard deviation	3180.4897
Coefficient of variation (CV)	0.75904589
Kurtosis	0.61802104
Mean	4190.1151
Median Absolute Deviation (MAD)	1754.03
Skewness	1.1286314
Sum	5.3423968 × 10⁸
Variance	10115514
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2295.058333	22	< 0.1%
6082.1875	22	< 0.1%
3080.555	21	< 0.1%
6358.956667	21	< 0.1%
6639.56	20	< 0.1%
4387.2725	20	< 0.1%
5766.491667	20	< 0.1%
1315.560833	19	< 0.1%
6769.13	19	< 0.1%
536.43125	19	< 0.1%
Other values (13673)	127297	84.9%
(Missing)	22500	15.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
303.6454167	10	< 0.1%
319.55625	11	< 0.1%
331.0319233	2	< 0.1%
332.1283333	10	< 0.1%
332.43125	10	< 0.1%
333.5966667	10	< 0.1%
355.2083333	12	< 0.1%
357.2558333	11	< 0.1%
358.0583333	10	< 0.1%
361.6033333	10	< 0.1%

Value	Count	Frequency (%)
15204.63333	10	< 0.1%
15167.18	12	< 0.1%
15136.69667	10	< 0.1%
15115.19	10	< 0.1%
15101.94	11	< 0.1%
15091.08667	5	< 0.1%
15090.07667	11	< 0.1%
15066.78333	11	< 0.1%
15038.31667	5	< 0.1%
14978.33667	10	< 0.1%

Num_Bank_Accounts
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	1183
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.00694

Minimum	-1
Maximum	1798
Zeros	6494
Zeros (%)	4.3%
Negative	37
Negative (%)	< 0.1%
Memory size	1.1 MiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	3
median	6
Q3	7
95-th percentile	10
Maximum	1798
Range	1799
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	117.06948
Coefficient of variation (CV)	6.8836296
Kurtosis	132.64797
Mean	17.00694
Median Absolute Deviation (MAD)	2
Skewness	11.218773
Sum	2551041
Variance	13705.262
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	19505	13.0%
7	19231	12.8%
8	19152	12.8%
4	18286	12.2%
5	18186	12.1%
3	17905	11.9%
9	8181	5.5%
10	7846	5.2%
1	6743	4.5%
0	6494	4.3%
Other values (1173)	8471	5.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	37	< 0.1%
0	6494	4.3%
1	6743	4.5%
2	6456	4.3%
3	17905	11.9%
4	18286	12.2%
5	18186	12.1%
6	19505	13.0%
7	19231	12.8%
8	19152	12.8%

Value	Count	Frequency (%)
1798	3	< 0.1%
1794	2	< 0.1%
1793	1	< 0.1%
1789	2	< 0.1%
1786	1	< 0.1%
1784	2	< 0.1%
1783	2	< 0.1%
1782	1	< 0.1%
1781	1	< 0.1%
1780	1	< 0.1%

Num_Credit_Card
Real number (ℝ)

Distinct	1344
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.623447

Minimum	0
Maximum	1499
Zeros	29
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	4
median	5
Q3	7
95-th percentile	10
Maximum	1499
Range	1499
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	129.14301
Coefficient of variation (CV)	5.7083701
Kurtosis	73.645489
Mean	22.623447
Median Absolute Deviation (MAD)	2
Skewness	8.4006471
Sum	3393517
Variance	16677.916
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	27669	18.4%
7	24886	16.6%
6	24802	16.5%
4	21102	14.1%
3	19816	13.2%
8	7453	5.0%
10	7265	4.8%
9	6976	4.7%
2	3280	2.2%
1	3195	2.1%
Other values (1334)	3556	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	29	< 0.1%
1	3195	2.1%
2	3280	2.2%
3	19816	13.2%
4	21102	14.1%
5	27669	18.4%
6	24802	16.5%
7	24886	16.6%
8	7453	5.0%
9	6976	4.7%

Value	Count	Frequency (%)
1499	3	< 0.1%
1498	5	< 0.1%
1497	3	< 0.1%
1496	2	< 0.1%
1495	2	< 0.1%
1494	1	< 0.1%
1493	2	< 0.1%
1492	2	< 0.1%
1491	1	< 0.1%
1490	2	< 0.1%

Interest_Rate
Real number (ℝ)

Distinct	2394
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.234907

Minimum	1
Maximum	5799
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	13
Q3	20
95-th percentile	32
Maximum	5799
Range	5798
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	461.53719
Coefficient of variation (CV)	6.4790875
Kurtosis	87.492459
Mean	71.234907
Median Absolute Deviation (MAD)	6
Skewness	9.1228759
Sum	10685236
Variance	213016.58
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	7515	5.0%
5	7479	5.0%
6	7089	4.7%
12	6828	4.6%
10	6799	4.5%
9	6747	4.5%
7	6744	4.5%
11	6626	4.4%
18	6154	4.1%
15	5984	4.0%
Other values (2384)	82035	54.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4027	2.7%
2	3710	2.5%
3	4153	2.8%
4	3876	2.6%
5	7479	5.0%
6	7089	4.7%
7	6744	4.5%
8	7515	5.0%
9	6747	4.5%
10	6799	4.5%

Value	Count	Frequency (%)
5799	1	< 0.1%
5797	1	< 0.1%
5792	1	< 0.1%
5789	1	< 0.1%
5788	1	< 0.1%
5776	1	< 0.1%
5775	1	< 0.1%
5774	1	< 0.1%
5773	2	< 0.1%
5771	1	< 0.1%

Num_of_Loan
Categorical

HIGH CARDINALITY IMBALANCE

Distinct	623
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

3	21500
2	21423
4	20998
0	15543
1	15112
Other values (618)	55424

Length

Max length	5
Median length	1
Mean length	1.1762333
Min length	1

Characters and Unicode

Total characters	176435
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	489 ?
Unique (%)	0.3%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	1

Common Values

Value	Count	Frequency (%)
3	21500	14.3%
2	21423	14.3%
4	20998	14.0%
0	15543	10.4%
1	15112	10.1%
6	11112	7.4%
7	10413	6.9%
5	10302	6.9%
-100	5850	3.9%
9	5288	3.5%
Other values (613)	12459	8.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3	22618	15.1%
2	22547	15.0%
4	22111	14.7%
0	16376	10.9%
1	15901	10.6%
6	11705	7.8%
7	11024	7.3%
5	10814	7.2%
100	5851	3.9%
9	5539	3.7%
Other values (589)	5514	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	28253	16.0%
3	22866	13.0%
2	22796	12.9%
4	22375	12.7%
1	22250	12.6%
6	11891	6.7%
7	11198	6.3%
5	11023	6.2%
_	7221	4.1%
-	5850	3.3%
Other values (2)	10712	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	163364	92.6%
Connector Punctuation	7221	4.1%
Dash Punctuation	5850	3.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28253	17.3%
3	22866	14.0%
2	22796	14.0%
4	22375	13.7%
1	22250	13.6%
6	11891	7.3%
7	11198	6.9%
5	11023	6.7%
9	5747	3.5%
8	4965	3.0%

Connector Punctuation

Value	Count	Frequency (%)
_	7221	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5850	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	176435	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28253	16.0%
3	22866	13.0%
2	22796	12.9%
4	22375	12.7%
1	22250	12.6%
6	11891	6.7%
7	11198	6.3%
5	11023	6.2%
_	7221	4.1%
-	5850	3.3%
Other values (2)	10712	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176435	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28253	16.0%
3	22866	13.0%
2	22796	12.9%
4	22375	12.7%
1	22250	12.6%
6	11891	6.7%
7	11198	6.3%
5	11023	6.2%
_	7221	4.1%
-	5850	3.3%
Other values (2)	10712	6.1%

Type_of_Loan
Categorical

HIGH CARDINALITY MISSING

Distinct	6260
Distinct (%)	4.7%
Missing	17112
Missing (%)	11.4%
Memory size	1.1 MiB

Not Specified	2112
Credit-Builder Loan	1920
Personal Loan	1908
Debt Consolidation Loan	1896
Student Loan	1860
Other values (6255)	123192

Length

Max length	182
Median length	142
Mean length	66.683583
Min length	9

Characters and Unicode

Total characters	8861448
Distinct characters	33
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
2nd row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
3rd row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
4th row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
5th row	Credit-Builder Loan

Common Values

Value	Count	Frequency (%)
Not Specified	2112	1.4%
Credit-Builder Loan	1920	1.3%
Personal Loan	1908	1.3%
Debt Consolidation Loan	1896	1.3%
Student Loan	1860	1.2%
Payday Loan	1800	1.2%
Mortgage Loan	1764	1.2%
Auto Loan	1728	1.2%
Home Equity Loan	1704	1.1%
Personal Loan, and Student Loan	480	0.3%
Other values (6250)	115716	77.1%
(Missing)	17112	11.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
loan	470508	36.4%
and	116196	9.0%
payday	60852	4.7%
credit-builder	60660	4.7%
not	59424	4.6%
specified	59424	4.6%
home	58656	4.5%
equity	58656	4.5%
student	58452	4.5%
mortgage	58404	4.5%
Other values (4)	231648	17.9%

Most occurring characters

Value	Count	Frequency (%)
	1159992	13.1%
o	936804	10.6%
a	883308	10.0%
n	819816	9.3%
e	532176	6.0%
t	527364	6.0%
d	474408	5.4%
L	470508	5.3%
i	415152	4.7%
,	397044	4.5%
Other values (23)	2244876	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6006408	67.8%
Uppercase Letter	1237344	14.0%
Space Separator	1159992	13.1%
Other Punctuation	397044	4.5%
Dash Punctuation	60660	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	936804	15.6%
a	883308	14.7%
n	819816	13.6%
e	532176	8.9%
t	527364	8.8%
d	474408	7.9%
i	415152	6.9%
r	238056	4.0%
u	234756	3.9%
y	180360	3.0%
Other values (9)	764208	12.7%

Uppercase Letter

Value	Count	Frequency (%)
L	470508	38.0%
P	119184	9.6%
C	118824	9.6%
S	117876	9.5%
B	60660	4.9%
N	59424	4.8%
H	58656	4.7%
E	58656	4.7%
M	58404	4.7%
D	58164	4.7%

Space Separator

Value	Count	Frequency (%)
	1159992	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	397044	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	60660	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7243752	81.7%
Common	1617696	18.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	936804	12.9%
a	883308	12.2%
n	819816	11.3%
e	532176	7.3%
t	527364	7.3%
d	474408	6.5%
L	470508	6.5%
i	415152	5.7%
r	238056	3.3%
u	234756	3.2%
Other values (20)	1711404	23.6%

Common

Value	Count	Frequency (%)
	1159992	71.7%
,	397044	24.5%
-	60660	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8861448	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1159992	13.1%
o	936804	10.6%
a	883308	10.0%
n	819816	9.3%
e	532176	6.0%
t	527364	6.0%
d	474408	5.4%
L	470508	5.3%
i	415152	4.7%
,	397044	4.5%
Other values (23)	2244876	25.3%

Delay_from_due_date
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	73
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.0634

Minimum	-5
Maximum	67
Zeros	1821
Zeros (%)	1.2%
Negative	889
Negative (%)	0.6%
Memory size	1.1 MiB

Quantile statistics

Minimum	-5
5-th percentile	3
Q1	10
median	18
Q3	28
95-th percentile	54
Maximum	67
Range	72
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.860154
Coefficient of variation (CV)	0.70549647
Kurtosis	0.3469547
Mean	21.0634
Median Absolute Deviation (MAD)	9
Skewness	0.96589567
Sum	3159510
Variance	220.82419
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	5355	3.6%
13	5185	3.5%
8	5004	3.3%
14	4949	3.3%
10	4926	3.3%
9	4889	3.3%
7	4821	3.2%
12	4766	3.2%
11	4755	3.2%
6	4721	3.1%
Other values (63)	100629	67.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-5	51	< 0.1%
-4	111	0.1%
-3	177	0.1%
-2	239	0.2%
-1	311	0.2%
0	1821	1.2%
1	1994	1.3%
2	2011	1.3%
3	2534	1.7%
4	2547	1.7%

Value	Count	Frequency (%)
67	29	< 0.1%
66	44	< 0.1%
65	86	0.1%
64	97	0.1%
63	90	0.1%
62	824	0.5%
61	785	0.5%
60	792	0.5%
59	757	0.5%
58	835	0.6%

Num_of_Delayed_Payment
Categorical

HIGH CARDINALITY IMBALANCE MISSING

Distinct	1058
Distinct (%)	0.8%
Missing	10500
Missing (%)	7.0%
Memory size	1.1 MiB

19	7949
17	7806
16	7721
15	7671
10	7670
Other values (1053)	100683

Length

Max length	5
Median length	2
Mean length	1.7707097
Min length	1

Characters and Unicode

Total characters	247014
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	867 ?
Unique (%)	0.6%

Sample

1st row	7
2nd row	9
3rd row	4
4th row	5
5th row	1

Common Values

Value	Count	Frequency (%)
19	7949	5.3%
17	7806	5.2%
16	7721	5.1%
15	7671	5.1%
10	7670	5.1%
18	7653	5.1%
12	7388	4.9%
20	7357	4.9%
9	7199	4.8%
11	7107	4.7%
Other values (1048)	63979	42.7%
(Missing)	10500	7.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
19	8188	5.9%
17	8048	5.8%
16	7949	5.7%
15	7911	5.7%
10	7900	5.7%
18	7847	5.6%
12	7622	5.5%
20	7607	5.5%
9	7421	5.3%
11	7314	5.2%
Other values (1001)	61693	44.2%

Most occurring characters

Value	Count	Frequency (%)
1	89916	36.4%
2	38954	15.8%
0	18253	7.4%
9	15941	6.5%
8	15700	6.4%
5	13902	5.6%
3	12780	5.2%
7	12291	5.0%
6	12184	4.9%
4	11991	4.9%
Other values (2)	5102	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	241912	97.9%
Connector Punctuation	4171	1.7%
Dash Punctuation	931	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	89916	37.2%
2	38954	16.1%
0	18253	7.5%
9	15941	6.6%
8	15700	6.5%
5	13902	5.7%
3	12780	5.3%
7	12291	5.1%
6	12184	5.0%
4	11991	5.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4171	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	931	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	247014	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	89916	36.4%
2	38954	15.8%
0	18253	7.4%
9	15941	6.5%
8	15700	6.4%
5	13902	5.6%
3	12780	5.2%
7	12291	5.0%
6	12184	4.9%
4	11991	4.9%
Other values (2)	5102	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	247014	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	89916	36.4%
2	38954	15.8%
0	18253	7.4%
9	15941	6.5%
8	15700	6.4%
5	13902	5.6%
3	12780	5.2%
7	12291	5.0%
6	12184	4.9%
4	11991	4.9%
Other values (2)	5102	2.1%

Changed_Credit_Limit
Categorical

Distinct	4605
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

_	3150
11.5	197
8.22	189
11.32	189
7.35	181
Other values (4600)	146094

Length

Max length	21
Median length	20
Mean length	4.70556
Min length	1

Characters and Unicode

Total characters	705834
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	480 ?
Unique (%)	0.3%

Sample

1st row	11.27
2nd row	13.27
3rd row	12.27
4th row	11.27
5th row	5.42

Common Values

Value	Count	Frequency (%)
_	3150	2.1%
11.5	197	0.1%
8.22	189	0.1%
11.32	189	0.1%
7.35	181	0.1%
10.06	178	0.1%
8.23	169	0.1%
7.69	166	0.1%
7.01	165	0.1%
11.49	164	0.1%
Other values (4595)	145252	96.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	3150	2.1%
11.5	197	0.1%
8.22	189	0.1%
11.32	189	0.1%
7.35	181	0.1%
10.06	178	0.1%
8.23	169	0.1%
3.93	168	0.1%
7.69	166	0.1%
7.01	165	0.1%
Other values (3879)	145248	96.8%

Most occurring characters

Value	Count	Frequency (%)
.	146850	20.8%
1	103312	14.6%
9	69985	9.9%
0	59693	8.5%
2	54609	7.7%
7	45960	6.5%
8	45785	6.5%
5	44455	6.3%
6	43906	6.2%
3	43013	6.1%
Other values (3)	48266	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	553413	78.4%
Other Punctuation	146850	20.8%
Connector Punctuation	3150	0.4%
Dash Punctuation	2421	0.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	103312	18.7%
9	69985	12.6%
0	59693	10.8%
2	54609	9.9%
7	45960	8.3%
8	45785	8.3%
5	44455	8.0%
6	43906	7.9%
3	43013	7.8%
4	42695	7.7%

Other Punctuation

Value	Count	Frequency (%)
.	146850	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3150	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2421	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	705834	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	146850	20.8%
1	103312	14.6%
9	69985	9.9%
0	59693	8.5%
2	54609	7.7%
7	45960	6.5%
8	45785	6.5%
5	44455	6.3%
6	43906	6.2%
3	43013	6.1%
Other values (3)	48266	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	705834	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	146850	20.8%
1	103312	14.6%
9	69985	9.9%
0	59693	8.5%
2	54609	7.7%
7	45960	6.5%
8	45785	6.5%
5	44455	6.3%
6	43906	6.2%
3	43013	6.1%
Other values (3)	48266	6.8%

Num_Credit_Inquiries
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	1607
Distinct (%)	1.1%
Missing	3000
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	28.529014

Minimum	0
Maximum	2597
Zeros	8074
Zeros (%)	5.4%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	6
Q3	9
95-th percentile	14
Maximum	2597
Range	2597
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	194.45606
Coefficient of variation (CV)	6.8160807
Kurtosis	99.144085
Mean	28.529014
Median Absolute Deviation (MAD)	3
Skewness	9.7183174
Sum	4193765
Variance	37813.158
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	15673	10.4%
6	12486	8.3%
3	12356	8.2%
7	12353	8.2%
8	11788	7.9%
2	10482	7.0%
5	10402	6.9%
1	9335	6.2%
9	8806	5.9%
0	8074	5.4%
Other values (1597)	35245	23.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8074	5.4%
1	9335	6.2%
2	10482	7.0%
3	12356	8.2%
4	15673	10.4%
5	10402	6.9%
6	12486	8.3%
7	12353	8.2%
8	11788	7.9%
9	8806	5.9%

Value	Count	Frequency (%)
2597	1	< 0.1%
2594	1	< 0.1%
2593	1	< 0.1%
2592	3	< 0.1%
2589	2	< 0.1%
2588	2	< 0.1%
2587	1	< 0.1%
2586	2	< 0.1%
2583	2	< 0.1%
2580	1	< 0.1%

Credit_Mix
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

Standard	54858
Good	36597
_	30000
Bad	28545

Length

Max length	8
Median length	4
Mean length	4.67258
Min length	1

Characters and Unicode

Total characters	700887
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Good
4th row	Good
5th row	Good

Common Values

Value	Count	Frequency (%)
Standard	54858	36.6%
Good	36597	24.4%
_	30000	20.0%
Bad	28545	19.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
standard	54858	36.6%
good	36597	24.4%
	30000	20.0%
bad	28545	19.0%

Most occurring characters

Value	Count	Frequency (%)
d	174858	24.9%
a	138261	19.7%
o	73194	10.4%
S	54858	7.8%
t	54858	7.8%
n	54858	7.8%
r	54858	7.8%
G	36597	5.2%
_	30000	4.3%
B	28545	4.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	550887	78.6%
Uppercase Letter	120000	17.1%
Connector Punctuation	30000	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	174858	31.7%
a	138261	25.1%
o	73194	13.3%
t	54858	10.0%
n	54858	10.0%
r	54858	10.0%

Uppercase Letter

Value	Count	Frequency (%)
S	54858	45.7%
G	36597	30.5%
B	28545	23.8%

Connector Punctuation

Value	Count	Frequency (%)
_	30000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	670887	95.7%
Common	30000	4.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	174858	26.1%
a	138261	20.6%
o	73194	10.9%
S	54858	8.2%
t	54858	8.2%
n	54858	8.2%
r	54858	8.2%
G	36597	5.5%
B	28545	4.3%

Common

Value	Count	Frequency (%)
_	30000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	700887	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	174858	24.9%
a	138261	19.7%
o	73194	10.4%
S	54858	7.8%
t	54858	7.8%
n	54858	7.8%
r	54858	7.8%
G	36597	5.2%
_	30000	4.3%
B	28545	4.1%

Outstanding_Debt
Categorical

Distinct	13622
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

1360.45	36
1151.7	35
1109.03	35
460.46	35
935.74	24
Other values (13617)	149835

Length

Max length	8
Median length	7
Mean length	6.4332
Min length	3

Characters and Unicode

Total characters	964980
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1340 ?
Unique (%)	0.9%

Sample

1st row	809.98
2nd row	809.98
3rd row	809.98
4th row	809.98
5th row	605.03

Common Values

Value	Count	Frequency (%)
1360.45	36	< 0.1%
1151.7	35	< 0.1%
1109.03	35	< 0.1%
460.46	35	< 0.1%
935.74	24	< 0.1%
1292.14	24	< 0.1%
1454.68	24	< 0.1%
1024.56	24	< 0.1%
438.75	24	< 0.1%
1072.42	24	< 0.1%
Other values (13612)	149715	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1360.45	36	< 0.1%
1109.03	36	< 0.1%
460.46	36	< 0.1%
1151.7	36	< 0.1%
1464.16	24	< 0.1%
1194.38	24	< 0.1%
10.29	24	< 0.1%
585.77	24	< 0.1%
462.11	24	< 0.1%
969.19	24	< 0.1%
Other values (12193)	149712	99.8%

Most occurring characters

Value	Count	Frequency (%)
.	150000	15.5%
1	125352	13.0%
2	95904	9.9%
3	88260	9.1%
4	87528	9.1%
5	74196	7.7%
6	73368	7.6%
8	72012	7.5%
7	71496	7.4%
9	70716	7.3%
Other values (2)	56148	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	813480	84.3%
Other Punctuation	150000	15.5%
Connector Punctuation	1500	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	125352	15.4%
2	95904	11.8%
3	88260	10.8%
4	87528	10.8%
5	74196	9.1%
6	73368	9.0%
8	72012	8.9%
7	71496	8.8%
9	70716	8.7%
0	54648	6.7%

Other Punctuation

Value	Count	Frequency (%)
.	150000	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1500	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	964980	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	150000	15.5%
1	125352	13.0%
2	95904	9.9%
3	88260	9.1%
4	87528	9.1%
5	74196	7.7%
6	73368	7.6%
8	72012	7.5%
7	71496	7.4%
9	70716	7.3%
Other values (2)	56148	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	964980	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	150000	15.5%
1	125352	13.0%
2	95904	9.9%
3	88260	9.1%
4	87528	9.1%
5	74196	7.7%
6	73368	7.6%
8	72012	7.5%
7	71496	7.4%
9	70716	7.3%
Other values (2)	56148	5.8%

Credit_Utilization_Ratio
Real number (ℝ)

Distinct	150000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.283309

Minimum	20
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	20
5-th percentile	24.247778
Q1	28.054731
median	32.297058
Q3	36.487954
95-th percentile	40.228918
Maximum	50
Range	30
Interquartile range (IQR)	8.4332227

Descriptive statistics

Standard deviation	5.1133154
Coefficient of variation (CV)	0.15838883
Kurtosis	-0.94582088
Mean	32.283309
Median Absolute Deviation (MAD)	4.2156115
Skewness	0.031599852
Sum	4842496.3
Variance	26.145994
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35.03040186	1	< 0.1%
26.91679533	1	< 0.1%
27.73605126	1	< 0.1%
40.98413994	1	< 0.1%
26.12971783	1	< 0.1%
24.78390632	1	< 0.1%
26.65025816	1	< 0.1%
23.86424414	1	< 0.1%
29.63812969	1	< 0.1%
31.87539864	1	< 0.1%
Other values (149990)	149990	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	1	< 0.1%
20.10076996	1	< 0.1%
20.1729419	1	< 0.1%
20.24413035	1	< 0.1%
20.25707336	1	< 0.1%
20.50965206	1	< 0.1%
20.62001732	1	< 0.1%
20.71974515	1	< 0.1%
20.73922549	1	< 0.1%
20.80058685	1	< 0.1%

Value	Count	Frequency (%)
50	1	< 0.1%
49.56451935	1	< 0.1%
49.5223243	1	< 0.1%
49.25498298	1	< 0.1%
49.06427745	1	< 0.1%
48.54066309	1	< 0.1%
48.48985173	1	< 0.1%
48.33729091	1	< 0.1%
48.24700252	1	< 0.1%
48.22871401	1	< 0.1%

Credit_History_Age
Categorical

HIGH CARDINALITY MISSING

Distinct	408
Distinct (%)	0.3%
Missing	13500
Missing (%)	9.0%
Memory size	1.1 MiB

17 Years and 11 Months	628
18 Years and 4 Months	621
18 Years and 3 Months	617
19 Years and 9 Months	615
18 Years and 2 Months	615
Other values (403)	133404

Length

Max length	22
Median length	21
Mean length	20.982945
Min length	20

Characters and Unicode

Total characters	2864172
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	22 Years and 9 Months
2nd row	22 Years and 10 Months
3rd row	23 Years and 0 Months
4th row	27 Years and 3 Months
5th row	27 Years and 4 Months

Common Values

Value	Count	Frequency (%)
17 Years and 11 Months	628	0.4%
18 Years and 4 Months	621	0.4%
18 Years and 3 Months	617	0.4%
19 Years and 9 Months	615	0.4%
18 Years and 2 Months	615	0.4%
16 Years and 2 Months	612	0.4%
18 Years and 1 Months	612	0.4%
16 Years and 1 Months	610	0.4%
18 Years and 0 Months	609	0.4%
19 Years and 5 Months	608	0.4%
Other values (398)	130353	86.9%
(Missing)	13500	9.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
years	136500	20.0%
and	136500	20.0%
months	136500	20.0%
6	15883	2.3%
8	15600	2.3%
9	15544	2.3%
10	15410	2.3%
11	15400	2.3%
7	15268	2.2%
5	13893	2.0%
Other values (28)	166002	24.3%

Most occurring characters

Value	Count	Frequency (%)
	546000	19.1%
a	273000	9.5%
s	273000	9.5%
n	273000	9.5%
o	136500	4.8%
t	136500	4.8%
Y	136500	4.8%
e	136500	4.8%
r	136500	4.8%
d	136500	4.8%
Other values (12)	680172	23.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1638000	57.2%
Space Separator	546000	19.1%
Decimal Number	407172	14.2%
Uppercase Letter	273000	9.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	113106	27.8%
2	67564	16.6%
3	39070	9.6%
0	37297	9.2%
6	26941	6.6%
9	26898	6.6%
8	26897	6.6%
7	26132	6.4%
5	22715	5.6%
4	20552	5.0%

Lowercase Letter

Value	Count	Frequency (%)
a	273000	16.7%
s	273000	16.7%
n	273000	16.7%
o	136500	8.3%
t	136500	8.3%
e	136500	8.3%
r	136500	8.3%
d	136500	8.3%
h	136500	8.3%

Uppercase Letter

Value	Count	Frequency (%)
Y	136500	50.0%
M	136500	50.0%

Space Separator

Value	Count	Frequency (%)
	546000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1911000	66.7%
Common	953172	33.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	546000	57.3%
1	113106	11.9%
2	67564	7.1%
3	39070	4.1%
0	37297	3.9%
6	26941	2.8%
9	26898	2.8%
8	26897	2.8%
7	26132	2.7%
5	22715	2.4%

Latin

Value	Count	Frequency (%)
a	273000	14.3%
s	273000	14.3%
n	273000	14.3%
o	136500	7.1%
t	136500	7.1%
Y	136500	7.1%
e	136500	7.1%
r	136500	7.1%
d	136500	7.1%
M	136500	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2864172	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	546000	19.1%
a	273000	9.5%
s	273000	9.5%
n	273000	9.5%
o	136500	4.8%
t	136500	4.8%
Y	136500	4.8%
e	136500	4.8%
r	136500	4.8%
d	136500	4.8%
Other values (12)	680172	23.7%

Payment_of_Min_Amount
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

Yes	78484
No	53516
NM	18000

Length

Max length	3
Median length	3
Mean length	2.5232267
Min length	2

Characters and Unicode

Total characters	378484
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
Yes	78484	52.3%
No	53516	35.7%
NM	18000	12.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	78484	52.3%
no	53516	35.7%
nm	18000	12.0%

Most occurring characters

Value	Count	Frequency (%)
Y	78484	20.7%
e	78484	20.7%
s	78484	20.7%
N	71516	18.9%
o	53516	14.1%
M	18000	4.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	210484	55.6%
Uppercase Letter	168000	44.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
Y	78484	46.7%
N	71516	42.6%
M	18000	10.7%

Lowercase Letter

Value	Count	Frequency (%)
e	78484	37.3%
s	78484	37.3%
o	53516	25.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	378484	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
Y	78484	20.7%
e	78484	20.7%
s	78484	20.7%
N	71516	18.9%
o	53516	14.1%
M	18000	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	378484	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Y	78484	20.7%
e	78484	20.7%
s	78484	20.7%
N	71516	18.9%
o	53516	14.1%
M	18000	4.8%

Total_EMI_per_month
Real number (ℝ)

Distinct	16960
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1432.5136

Minimum	0
Maximum	82398
Zeros	15615
Zeros (%)	10.4%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	30.947775
median	71.280006
Q3	166.27956
95-th percentile	499.73202
Maximum	82398
Range	82398
Interquartile range (IQR)	135.33178

Descriptive statistics

Standard deviation	8403.76
Coefficient of variation (CV)	5.8664435
Kurtosis	51.398183
Mean	1432.5136
Median Absolute Deviation (MAD)	51.776274
Skewness	7.0497762
Sum	2.1487704 × 10⁸
Variance	70623182
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	15615	10.4%
49.57494921	12	< 0.1%
27.97205372	12	< 0.1%
48.84009702	12	< 0.1%
24.25711798	12	< 0.1%
111.6372765	12	< 0.1%
212.4293521	12	< 0.1%
18.69416213	12	< 0.1%
126.5799472	12	< 0.1%
203.6057951	12	< 0.1%
Other values (16950)	134277	89.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15615	10.4%
4.462837467	12	< 0.1%
4.713183572	12	< 0.1%
4.865689677	12	< 0.1%
4.916138542	12	< 0.1%
5.138484696	12	< 0.1%
5.218466359	12	< 0.1%
5.24927327	11	< 0.1%
5.262291048	12	< 0.1%
5.351086151	11	< 0.1%

Value	Count	Frequency (%)
82398	1	< 0.1%
82347	1	< 0.1%
82331	1	< 0.1%
82316	1	< 0.1%
82256	1	< 0.1%
82248	1	< 0.1%
82236	1	< 0.1%
82235	1	< 0.1%
82225	1	< 0.1%
82204	1	< 0.1%

Amount_invested_monthly
Categorical

HIGH CARDINALITY MISSING

Distinct	136497
Distinct (%)	95.3%
Missing	6750
Missing (%)	4.5%
Memory size	1.1 MiB

__10000__	6480
0.0	275
79.77734815487014	1
70.78372395611446	1
36.319514426769054	1
Other values (136492)	136492

Length

Max length	18
Median length	17
Mean length	16.962729
Min length	3

Characters and Unicode

Total characters	2429911
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	136495 ?
Unique (%)	95.3%

Sample

1st row	236.64268203272135
2nd row	21.465380264657146
3rd row	148.23393788500925
4th row	39.08251089460281
5th row	39.684018417945296

Common Values

Value	Count	Frequency (%)
__10000__	6480	4.3%
0.0	275	0.2%
79.77734815487014	1	< 0.1%
70.78372395611446	1	< 0.1%
36.319514426769054	1	< 0.1%
152.64729262606082	1	< 0.1%
25.795644267454087	1	< 0.1%
238.46444826179817	1	< 0.1%
236.64268203272135	1	< 0.1%
199.24670014227908	1	< 0.1%
Other values (136487)	136487	91.0%
(Missing)	6750	4.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
10000	6480	4.5%
0.0	275	0.2%
177.95183568608738	1	< 0.1%
181.0072171318061	1	< 0.1%
251.62736875017606	1	< 0.1%
72.68014533363515	1	< 0.1%
153.53448761392985	1	< 0.1%
397.50365354404653	1	< 0.1%
453.6151305781054	1	< 0.1%
841.2322359154716	1	< 0.1%
Other values (136487)	136487	95.3%

Most occurring characters

Value	Count	Frequency (%)
1	259899	10.7%
2	234298	9.6%
4	227447	9.4%
3	226553	9.3%
0	226115	9.3%
5	224410	9.2%
6	223483	9.2%
8	217962	9.0%
7	217847	9.0%
9	209207	8.6%
Other values (2)	162690	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2267221	93.3%
Other Punctuation	136770	5.6%
Connector Punctuation	25920	1.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	259899	11.5%
2	234298	10.3%
4	227447	10.0%
3	226553	10.0%
0	226115	10.0%
5	224410	9.9%
6	223483	9.9%
8	217962	9.6%
7	217847	9.6%
9	209207	9.2%

Other Punctuation

Value	Count	Frequency (%)
.	136770	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	25920	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2429911	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	259899	10.7%
2	234298	9.6%
4	227447	9.4%
3	226553	9.3%
0	226115	9.3%
5	224410	9.2%
6	223483	9.2%
8	217962	9.0%
7	217847	9.0%
9	209207	8.6%
Other values (2)	162690	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2429911	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	259899	10.7%
2	234298	9.6%
4	227447	9.4%
3	226553	9.3%
0	226115	9.3%
5	224410	9.2%
6	223483	9.2%
8	217962	9.0%
7	217847	9.0%
9	209207	8.6%
Other values (2)	162690	6.7%

Payment_Behaviour
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

Low_spent_Small_value_payments	38207
High_spent_Medium_value_payments	26462
Low_spent_Medium_value_payments	20698
High_spent_Large_value_payments	20565
High_spent_Small_value_payments	16991
Other values (2)	27077

Length

Max length	32
Median length	31
Mean length	28.917187
Min length	6

Characters and Unicode

Total characters	4337578
Distinct characters	29
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low_spent_Small_value_payments
2nd row	High_spent_Medium_value_payments
3rd row	Low_spent_Medium_value_payments
4th row	High_spent_Medium_value_payments
5th row	High_spent_Large_value_payments

Common Values

Value	Count	Frequency (%)
Low_spent_Small_value_payments	38207	25.5%
High_spent_Medium_value_payments	26462	17.6%
Low_spent_Medium_value_payments	20698	13.8%
High_spent_Large_value_payments	20565	13.7%
High_spent_Small_value_payments	16991	11.3%
Low_spent_Large_value_payments	15677	10.5%
!@9#%8	11400	7.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low_spent_small_value_payments	38207	25.5%
high_spent_medium_value_payments	26462	17.6%
low_spent_medium_value_payments	20698	13.8%
high_spent_large_value_payments	20565	13.7%
high_spent_small_value_payments	16991	11.3%
low_spent_large_value_payments	15677	10.5%
9#%8	11400	7.6%

Most occurring characters

Value	Count	Frequency (%)
_	554400	12.8%
e	499202	11.5%
a	368640	8.5%
s	277200	6.4%
p	277200	6.4%
n	277200	6.4%
t	277200	6.4%
l	248996	5.7%
m	240958	5.6%
u	185760	4.3%
Other values (19)	1130822	26.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3437578	79.3%
Connector Punctuation	554400	12.8%
Uppercase Letter	277200	6.4%
Other Punctuation	45600	1.1%
Decimal Number	22800	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	499202	14.5%
a	368640	10.7%
s	277200	8.1%
p	277200	8.1%
n	277200	8.1%
t	277200	8.1%
l	248996	7.2%
m	240958	7.0%
u	185760	5.4%
v	138600	4.0%
Other values (8)	646622	18.8%

Uppercase Letter

Value	Count	Frequency (%)
L	110824	40.0%
H	64018	23.1%
S	55198	19.9%
M	47160	17.0%

Other Punctuation

Value	Count	Frequency (%)
!	11400	25.0%
@	11400	25.0%
#	11400	25.0%
%	11400	25.0%

Decimal Number

Value	Count	Frequency (%)
9	11400	50.0%
8	11400	50.0%

Connector Punctuation

Value	Count	Frequency (%)
_	554400	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3714778	85.6%
Common	622800	14.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	499202	13.4%
a	368640	9.9%
s	277200	7.5%
p	277200	7.5%
n	277200	7.5%
t	277200	7.5%
l	248996	6.7%
m	240958	6.5%
u	185760	5.0%
v	138600	3.7%
Other values (12)	923822	24.9%

Common

Value	Count	Frequency (%)
_	554400	89.0%
!	11400	1.8%
@	11400	1.8%
9	11400	1.8%
#	11400	1.8%
%	11400	1.8%
8	11400	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4337578	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	554400	12.8%
e	499202	11.5%
a	368640	8.5%
s	277200	6.4%
p	277200	6.4%
n	277200	6.4%
t	277200	6.4%
l	248996	5.7%
m	240958	5.6%
u	185760	4.3%
Other values (19)	1130822	26.1%

Monthly_Balance
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1762
Missing (%)	1.2%
Memory size	1.1 MiB

Credit_Score
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	50000
Missing (%)	33.3%
Memory size	1.1 MiB

Standard	53174
Poor	28998
Good	17828

Length

Max length	8
Median length	8
Mean length	6.12696
Min length	4

Characters and Unicode

Total characters	612696
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Good
4th row	Good
5th row	Good

Common Values

Value	Count	Frequency (%)
Standard	53174	35.4%
Poor	28998	19.3%
Good	17828	11.9%
(Missing)	50000	33.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
standard	53174	53.2%
poor	28998	29.0%
good	17828	17.8%

Most occurring characters

Value	Count	Frequency (%)
d	124176	20.3%
a	106348	17.4%
o	93652	15.3%
r	82172	13.4%
S	53174	8.7%
t	53174	8.7%
n	53174	8.7%
P	28998	4.7%
G	17828	2.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	512696	83.7%
Uppercase Letter	100000	16.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	124176	24.2%
a	106348	20.7%
o	93652	18.3%
r	82172	16.0%
t	53174	10.4%
n	53174	10.4%

Uppercase Letter

Value	Count	Frequency (%)
S	53174	53.2%
P	28998	29.0%
G	17828	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	612696	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	124176	20.3%
a	106348	17.4%
o	93652	15.3%
r	82172	13.4%
S	53174	8.7%
t	53174	8.7%
n	53174	8.7%
P	28998	4.7%
G	17828	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	612696	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	124176	20.3%
a	106348	17.4%
o	93652	15.3%
r	82172	13.4%
S	53174	8.7%
t	53174	8.7%
n	53174	8.7%
P	28998	4.7%
G	17828	2.9%

Auto

Heatmap
Table

	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Delay_from_due_date	Num_Credit_Inquiries	Credit_Utilization_Ratio	Total_EMI_per_month	Month	Occupation	Credit_Mix	Payment_of_Min_Amount	Payment_Behaviour	Credit_Score
Monthly_Inhand_Salary	1.000	-0.262	-0.193	-0.283	-0.241	-0.261	0.135	0.451	0.000	0.027	0.213	0.230	0.168	0.181
Num_Bank_Accounts	-0.262	1.000	0.400	0.555	0.557	0.482	-0.064	0.106	0.004	0.000	0.000	0.004	0.000	0.004
Num_Credit_Card	-0.193	0.400	1.000	0.426	0.422	0.390	-0.047	0.100	0.002	0.004	0.000	0.000	0.004	0.000
Interest_Rate	-0.283	0.555	0.426	1.000	0.549	0.569	-0.065	0.138	0.004	0.004	0.006	0.004	0.000	0.002
Delay_from_due_date	-0.241	0.557	0.422	0.549	1.000	0.490	-0.061	0.132	0.000	0.026	0.424	0.357	0.038	0.339
Num_Credit_Inquiries	-0.261	0.482	0.390	0.569	0.490	1.000	-0.066	0.171	0.003	0.001	0.002	0.002	0.004	0.008
Credit_Utilization_Ratio	0.135	-0.064	-0.047	-0.065	-0.061	-0.066	1.000	0.008	0.000	0.003	0.065	0.074	0.074	0.045
Total_EMI_per_month	0.451	0.106	0.100	0.138	0.132	0.171	0.008	1.000	0.004	0.000	0.000	0.005	0.001	0.005
Month	0.000	0.004	0.002	0.004	0.000	0.003	0.000	0.004	1.000	0.000	0.002	0.000	0.000	0.031
Occupation	0.027	0.000	0.004	0.004	0.026	0.001	0.003	0.000	0.000	1.000	0.023	0.017	0.003	0.027
Credit_Mix	0.213	0.000	0.000	0.006	0.424	0.002	0.065	0.000	0.002	0.023	1.000	0.487	0.062	0.402
Payment_of_Min_Amount	0.230	0.004	0.000	0.004	0.357	0.002	0.074	0.005	0.000	0.017	0.487	1.000	0.071	0.313
Payment_Behaviour	0.168	0.000	0.004	0.000	0.038	0.004	0.074	0.001	0.000	0.003	0.062	0.071	1.000	0.084
Credit_Score	0.181	0.004	0.000	0.002	0.339	0.008	0.045	0.005	0.031	0.027	0.402	0.313	0.084	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	ID	Customer_ID	Month	Name	Age	SSN	Occupation	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Num_of_Loan	Type_of_Loan	Delay_from_due_date	Num_of_Delayed_Payment	Changed_Credit_Limit	Num_Credit_Inquiries	Credit_Mix	Outstanding_Debt	Credit_Utilization_Ratio	Credit_History_Age	Payment_of_Min_Amount	Total_EMI_per_month	Amount_invested_monthly	Payment_Behaviour	Monthly_Balance	Credit_Score
0	0x160a	CUS_0xd40	September	Aaron Maashoh	23	821-00-0265	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	7	11.27	2022.0	Good	809.98	35.030402	22 Years and 9 Months	No	49.574949	236.64268203272135	Low_spent_Small_value_payments	186.26670208571772	NaN
1	0x160b	CUS_0xd40	October	Aaron Maashoh	24	821-00-0265	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	9	13.27	4.0	Good	809.98	33.053114	22 Years and 10 Months	No	49.574949	21.465380264657146	High_spent_Medium_value_payments	361.44400385378196	NaN
2	0x160c	CUS_0xd40	November	Aaron Maashoh	24	821-00-0265	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	-1	4	12.27	4.0	Good	809.98	33.811894	NaN	No	49.574949	148.23393788500925	Low_spent_Medium_value_payments	264.67544623342997	NaN
3	0x160d	CUS_0xd40	December	Aaron Maashoh	24_	821-00-0265	Scientist	19114.12	NaN	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	4	5	11.27	4.0	Good	809.98	32.430559	23 Years and 0 Months	No	49.574949	39.08251089460281	High_spent_Medium_value_payments	343.82687322383634	NaN
4	0x1616	CUS_0x21b1	September	Rick Rothackerj	28	004-07-5839	_______	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	3	1	5.42	5.0	Good	605.03	25.926822	27 Years and 3 Months	No	18.816215	39.684018417945296	High_spent_Large_value_payments	485.2984336755923	NaN
5	0x1617	CUS_0x21b1	October	Rick Rothackerj	28	#F%$D@*&8	Teacher	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	3	3	5.42	5.0	Good	605.03	30.116600	27 Years and 4 Months	No	18.816215	251.62736875017606	Low_spent_Large_value_payments	303.3550833433617	NaN
6	0x1618	CUS_0x21b1	November	Rick Rothackerj	28	004-07-5839	Teacher	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	3	NaN	5.42	5.0	_	605.03	30.996424	27 Years and 5 Months	No	18.816215	72.68014533363515	High_spent_Large_value_payments	452.30230675990265	NaN
7	0x1619	CUS_0x21b1	December	Rick Rothackerj	28	004-07-5839	Teacher	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	3	2_	7.42	5.0	_	605.03	33.875167	27 Years and 6 Months	No	18.816215	153.53448761392985	!@9#%8	421.44796447960783	NaN
8	0x1622	CUS_0x2dbc	September	Langep	35	486-85-3974	Engineer	143162.64	NaN	1	5	8	3	Auto Loan, Auto Loan, and Not Specified	8	1942	7.1	3.0	Good	1303.01	35.229707	18 Years and 5 Months	No	246.992319	397.50365354404653	Low_spent_Medium_value_payments	854.2260270022115	NaN
9	0x1623	CUS_0x2dbc	October	Langep	35	486-85-3974	Engineer	143162.64	12187.220000	1	5	8	3	Auto Loan, Auto Loan, and Not Specified	6	3	2.1	3.0	Good	1303.01	35.685836	18 Years and 6 Months	No	246.992319	453.6151305781054	Low_spent_Large_value_payments	788.1145499681528	NaN

	ID	Customer_ID	Month	Name	Age	SSN	Occupation	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Num_of_Loan	Type_of_Loan	Delay_from_due_date	Num_of_Delayed_Payment	Changed_Credit_Limit	Num_Credit_Inquiries	Credit_Mix	Outstanding_Debt	Credit_Utilization_Ratio	Credit_History_Age	Payment_of_Min_Amount	Total_EMI_per_month	Amount_invested_monthly	Payment_Behaviour	Monthly_Balance	Credit_Score
149990	0x25fe0	CUS_0x8600	July	Sarah McBridec	28	031-35-0942	Architect	20002.88	1929.906667	10	8	29	5	Personal Loan, Auto Loan, Mortgage Loan, Student Loan, and Student Loan	33	26	18.31	9.0	Bad	3571.7	25.123535	NaN	Yes	60.964772	173.2755025599617	Low_spent_Large_value_payments	228.750392	Standard
149991	0x25fe1	CUS_0x8600	August	Sarah McBridec	29	031-35-0942	Architect	20002.88	1929.906667	10	8	29	5	Personal Loan, Auto Loan, Mortgage Loan, Student Loan, and Student Loan	33	25	18.31	9.0	Bad	3571.7	37.140784	6 Years and 3 Months	Yes	60.964772	34.66290609052614	High_spent_Large_value_payments	337.362988	Standard
149992	0x25fe6	CUS_0x942c	January	Nicks	24	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	23	NaN	9.5	3.0	_	502.38	32.991333	31 Years and 3 Months	No	35.104023	401.1964806036356	Low_spent_Small_value_payments	189.64108	Poor
149993	0x25fe7	CUS_0x942c	February	Nicks	25	078-73-5990	Mechanic	39628.99_	3359.415833	4	6	7	2	Auto Loan, and Student Loan	23	NaN	11.5	3.0	Good	502.38	29.135447	31 Years and 4 Months	No	58638.000000	180.7330951944497	Low_spent_Medium_value_payments	400.104466	Standard
149994	0x25fe8	CUS_0x942c	March	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	20	6	9.5	3.0	_	502.38	39.323569	31 Years and 5 Months	No	35.104023	140.58140274528395	High_spent_Medium_value_payments	410.256158	Poor
149995	0x25fe9	CUS_0x942c	April	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	23	7	11.5	3.0	_	502.38	34.663572	31 Years and 6 Months	No	35.104023	60.97133255718485	High_spent_Large_value_payments	479.866228	Poor
149996	0x25fea	CUS_0x942c	May	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	18	7	11.5	3.0	_	502.38	40.565631	31 Years and 7 Months	No	35.104023	54.18595028760385	High_spent_Medium_value_payments	496.65161	Poor
149997	0x25feb	CUS_0x942c	June	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	5729	2	Auto Loan, and Student Loan	27	6	11.5	3.0	Good	502.38	41.255522	31 Years and 8 Months	No	35.104023	24.02847744864441	High_spent_Large_value_payments	516.809083	Poor
149998	0x25fec	CUS_0x942c	July	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	20	NaN	11.5	3.0	Good	502.38	33.638208	31 Years and 9 Months	No	35.104023	251.67258219721603	Low_spent_Large_value_payments	319.164979	Standard
149999	0x25fed	CUS_0x942c	August	Nicks	25	078-73-5990	Mechanic	39628.99_	3359.415833	4	6	7	2	Auto Loan, and Student Loan	18	6	11.5	3.0	Good	502.38	34.192463	31 Years and 10 Months	No	35.104023	167.1638651610451	!@9#%8	393.673696	Poor

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories